Research Article
A genetic algorithm for the adaptation of service compositions
@INPROCEEDINGS{10.4108/ICST.BIONETICS2007.2397, author={David Linner and Heiko Pfeffer and Stephan Steglich}, title={A genetic algorithm for the adaptation of service compositions}, proceedings={1st International ICST Workshop on Technologies for Situated and Autonomic Communications}, proceedings_a={SAC}, year={2008}, month={8}, keywords={Genetic Algorithm Service Composition Service-oriented Architecture}, doi={10.4108/ICST.BIONETICS2007.2397} }- David Linner
Heiko Pfeffer
Stephan Steglich
Year: 2008
A genetic algorithm for the adaptation of service compositions
SAC
IEEE
DOI: 10.4108/ICST.BIONETICS2007.2397
Abstract
The view on applications in large-scale open systems shifted to a service-oriented perspective, where each functional feature forming an application is regarded as service. The services which constitute an application can be physically spread over different network nodes and can be even provided by different administrative entities. According to the vision of the BIONETS project we are additionally facing a dynamically changing computing environment, which entails a dynamically changing set of available services. We investigate how service compositions, on which novel applications are based on, can flexibly be adapted to the changing conditions in the computing environment, while going beyond latebinding mechanisms. We apply methods of genetic programming to modify the structures describing service compositions to find compensation for types of services no longer available to applications. In this paper, we describe the current state of our efforts on complex algorithms for service composition transformation, based on the application of genetic operators to graph based service composition representations.
